Waarom agentconfiguraties niet op gemiddelde score moeten rangschikken

Evaluating AI agent configurations through pairwise comparisons and utility scoring methods provides more reliable insights than relying on average performance metrics alone. These alternative approaches help teams make better decisions about which configurations to deploy, eliminate, or prioritize for further development.